Accelerate incident investigation with AI‑powered analysis
BigPanda Advanced Insight analyzes multisource data so ITOps and incident management teams can triage faster and improve service availability.
Quickly understand and explain incident impact
Instantly provide ITOps and incident management teams with context-enriched incident summaries to quickly understand and communicate impact, priority, and assignment.
Automate and accelerate incident analysis
BigPanda Automated Incident Analysis helps identify incidents requiring immediate action. It reliably assesses an incident’s relevance and impact across distributed systems and conveys priority actions for ITOps and incident management teams at scale.
Instantly identify changes that trigger incidents
Root Cause Changes (RCC) correlates multisource incidents with change data to identify causal changes across hybrid cloud environments. Change data analytics provide users with a comprehensive view of statistically significant changes that caused the incident.
Expedite analysis with historical context
BigPanda Similar Incidents matches live incident alerts with relevant historical data, enabling operators to anticipate potential escalations before they occur. It leverages insights from past incident patterns to reduce manual effort and proactively address issues.
Transform IT noise into actionable insights
“Not only can we see the alerts, but we can evaluate them using correlation that recognized patterns, connected alerts, and led to fewer incidents.”
“Adding context to enrich alert data leads to more effective prioritization, faster problem resolution, and fewer service disruptions.”
Paul Bevan
IT Infrastructure Research Director, Bloor Research
“BigPanda has enabled us to get more real-time, relevant data around a specific incident. This has significantly reduced our MTTR.”
FAQ
What is BigPanda Root Cause Analysis?
BigPanda Root Cause Analysis uses operations-centric AI to accurately and automatically identify change data associated with an incident. Responders gain fast, precise root-cause identification at the time of the incident to instantly uncover crucial details for resolution and reduce MTTR by up to 50%.
How does BigPanda Root Cause Changes work?
BigPanda Root Cause Changes uses AI and Open Box Machine Learning to identify patterns and correlate real-time change data with incidents. BigPanda uses 29 unique vector dimensions to identify high-confidence alerts and change-data matches associated with incident creation. Responders gain a comprehensive view of statistically relevant suspected changes.
How is BigPanda Similar Incidents unique?
BigPanda Similar Incidents provides a centralized and comprehensive analysis of similar incident data, enhanced with multisource historical context and multidimensional correlations. BigPanda generates a similarity score and summary in clear, readable language by utilizing an AI-generated configuration coupled with customizable alert tags.
How does BigPanda Similar Incidents use generative AI?
BigPanda Generative AI enhances analysis by integrating multisource change data, historical context, and multidimensional correlations, delivering relevant information in clear language. Historical insights help operators make informed, efficient decisions during triage. Using your unique topology and data, Similar Incidents expedites investigation, triage, and resolution.
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